Research project
Rafa Martí and Anna Martínez-Gavara coordinate the research project entitled Supply Chain Optimization (SCOOP)
This is a joint project with Rey Juan Carlos University (URJC) and includes 20 researchers. In this project we develop algorithms, based on metaheuristic methods,
which integrated in a software, solve hard optimization problems. It is funded by the Spanish Goverment with the code PID2021-125709OB (2022-2024).
The collaboration between our group and the URJC team (GRAFO) started in 2006 when Profs. Martí and Duarte published a paper
in the European Journal of Operational Research. Since then, both teams have published together almost 50 JCR-indexed papers
and 25 book chapters, and their research has been presented in more than 50 international conferences. This collaboration has
received remarkable evaluations on previous joint funded projects, such as: TIN2012-35632,
TIN2015-65460 or PGC2018-095322.
In the OPTSICOM website, codes, instances and best known solutions for the problems in which we are working are available.
You can directly download from here the LOLIB and
MDPLIB 2.0.
2023-24 Publications
Latest journal papers
Strategic Oscillation Tabu Search for Improved Hierarchical Graph Drawing
Cavero, S., Pardo, E., Glover, F., Martí, R. ,
Expert Systems with Applications 243, 122668 (2024)
A Review of the Role of Heuristics in Stochastic Optimisation: from metaheuristics to learnheuristics
Juan, A., Keenan, P., Martí, R., McGarraghy, S., Panadero, J., Carroll, P., Oliva, D.,
Annals of Operations Research 320, 831-861 (2023) (available upon request)
General Variable Neighborhood Search for the Minimum Strech Spanning Tree Problem
Singh Kardam, Y., Kamal Srivastava, and Rafael Martí,
Optimization Letters 17, 2005–2031 (2023)
Heuristics for the Profitable Close-Enough Arc Routing Poblem
Reula, Miguel and Martí, Rafael,
Expert Systems with Applications Published online June 2023
A fast path relinking for the min-max edge crossing problem
Bo Peng, Lunwen Wu, Rafael Martí, Jiangshui Ma
Computers and Operations Research 166, 106603 (2024)
Mathematical models and solving methods for diversity and equity optimization
Martí, R., Parreño, F., Mortes, J.
Journal of Heuristics, Submitted April 2023
The Stochastic Scatter Search Metaheuristic
Martínez-Gavara, A., Keenan, P., Pariente, A., Martí, R., and Juan, A.
Memetic Computing, Submitted August 2023
Tabu Search for the Capacitated Dispersion Problem
Yang Wang, Zhipeng Lü, Zhouxing Su, Rafael Martí,
Computers and Operations Research , Submitted 2022